Sina Jafari Ghalekohneh

Sina Jafari Ghalekohneh

Research Assistant

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  • Timeline

  • About me

    Researcher PHD Student @ University of Houston | Mechanical Engineering PhD

  • Education

    • University of Tehran

      2016 - 2019
      Mechanical Engineering
    • Isfahan University of Technology

      2012 - 2016
      Bachelor's degree Mechanical Engineering 3.84

      Designed a new cooling system that uses the latent heat of water for cooling and simultaneously reduces the humidity

    • University of Houston

      2021 - 2025
      Doctor of Philosophy - PhD Mechanical Engineering 3.88
  • Experience

    • University of Tehran

      Sept 2016 - Jun 2019
      Research Assistant

      Design and Fabrication of a real time microfluidic PCR• Design and simulation of a 64 channels real time microfluidic PCR in COMSOL• Fabrication of the designed PCR using Photo-lithography, Physical Vapor Deposition, and Soft-Lithography • Measurement of the dimensions of the fabricated PCR using Scanning Electron Microscope (SEM)

    • University of Houston

      Sept 2021 - now
      Researcher PHD Student

      1- Design of High-Efficiency Thermal Emitters for Thermophotovoltaic Systems • Conducted analytical and numerical analyses of a nonreciprocal emitter, achieving a groundbreaking 93.3% efficiency enhancement for a solar thermophotovoltaic system • Developed a theoretical model for an advanced nonreciprocal thermal emitter. This model uniquely enables the adjustment of the emitter's absorptivity and emissivity properties, significantly enhancing thermal efficiency by overcoming standard heat loss limitations2- Experimental Measurement of Emissivity and Reflectivity in Nonreciprocal Materials • Conducted experimental measurements of the reflectivity of Weyl Semimetals utilizing Fourier Transform Infrared (FTIR) Spectroscopy and Ultraviolet-Visible (UV-vis) Spectrophotometry • Performed precise emissivity measurements of Weyl Semimetals and magneto-optical materials using an advanced Emissometry setup3- Optimization of Thermophotovoltaic System's Thermal Emitter through Machine Learning Algorithms • Implementation of a machine learning and quantum computing combined active learning algorithm to design a high performance selective emitter for high efficient TPV system • Developing a mixed-categorical Bayesian optimization (BO) approach for maximizing the contrast between absorptivity and emissivity for multilayer nonreciprocal thermal emitters Show less

    • Greentown Labs

      May 2023 - now
      TEX-E Fellow

      • Selected through competitive process to facilitate partnerships between Texas universities, MIT, industry, and innovation centers to foster energy innovation. Work on cutting-edge research projects in climate change.

    • National Science Foundation (NSF)

      Jan 2024 - Mar 2024
      Entrepreneur Lead of National Science Foundation’s Innovation Corps Program
  • Licenses & Certifications